Sai Manideep Pallerla

Motivated Data Engineer with 2 years of experience in developing and managing data solutions, seeking to contribute to innovative projects within a dynamic organization. Experienced in migrating batch and real-time processing systems to cloud platforms like AWS and GCP, automating data workflows using Python, Apache Airflow, and Kafka, and optimizing data pipelines for performance and scalability. Familiar in working with SQL (MySQL, PostgreSQL) and NoSQL (MongoDB) databases, as well as leveraging data warehousing tools such as Snowflake, Redshift, and Big Query. Dedicated to utilizing cutting-edge technologies to drive data-driven decisions and achieve both organizational and personal goals.

Eye Disease Detection (Glaucoma Detection): Developed a machine learning model to detect the Glaucoma (Eye Disease) in the human eye. This disease will mostly occur in the inner layer of the cornea which leads to eye cancer. Developed the system in such a way it detects the disease prior going to the hospital with our mobile device. Created a huge dataset of disease affected eyes and healthy eyes, then trained and tested the model. Deployed the system using AWS by creating a UI for the user to upload an image of the eye and check for the disease validation.

Hospital Management System: Developed a real time web page for a hospital management, which includes the services like creating a patient directory, doctor directory, appointment scheduling, directory for patient-doctor treatment, medications, prescriptions, directory for the pharmacy and pharmacy locations. This webpage helps patients to schedule an appointment with a specific doctor and maintain a record of that patient’s history. This history is maintained by the administrator(hospital). Developed this system by java spring boot as backend and SQL as database and maven to create a webpage.